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Record W4280506519 · doi:10.1002/jev2.12224

ISEV2022 Abstract Book

2022· article· de· W4280506519 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.

Bibliographic record

VenueJournal of Extracellular Vesicles · 2022
Typearticle
Languagede
FieldBiochemistry, Genetics and Molecular Biology
TopicExtracellular vesicles in disease
Canadian institutionsSickKids FoundationFonds de Recherche du Québec - SantéHospital for Sick ChildrenMontreal Children's HospitalMcGill UniversityDouglas Mental Health University InstituteDouglas College
FundersEuropean Social FundCore Research for Evolutional Science and TechnologyNational Institute of Neurological Disorders and StrokeNational Cancer InstituteNational Human Genome Research InstituteNational Institute on Drug AbuseUniversitätsklinikum Hamburg-EppendorfEuropean Regional Development FundFundação para a Ciência e a TecnologiaNational Medical Research CouncilNational Health and Medical Research CouncilStanford Bio-XNational Institutes of HealthAgencia Nacional de Investigación y DesarrolloSzegedi TudományegyetemBusiness FinlandFondation CharcotBritish Heart FoundationMinistry of Education, Culture, Sports, Science and TechnologyChina Scholarship CouncilMinistero dell’Istruzione, dell’Università e della RicercaFonds De La Recherche Scientifique - FNRSConselho Nacional de Desenvolvimento Científico e TecnológicoGedeon RichterMagyar Tudományos AkadémiaInstitut National de la Santé et de la Recherche MédicaleMinistero della SaluteChina Postdoctoral Science FoundationGeneralitat ValencianaSlovak Academic Information AgencyScience Foundation IrelandKorea Health Industry Development InstituteDiabetes AustraliaEngineering and Physical Sciences Research CouncilEuropean CommissionFundação de Amparo à Pesquisa do Estado de São PauloDiabetes UKDeutsche ForschungsgemeinschaftNederlandse Organisatie voor Wetenschappelijk OnderzoekFondazione Regionale per la Ricerca BiomedicaMinistry of Trade, Industry and EnergyInternational Society on Thrombosis and HaemostasisUniversity of Central FloridaComisión Nacional de Investigación Científica y TecnológicaMedical Research CouncilLions Medical Research FoundationJoachim Herz StiftungWellcome TrustMinistry of Science and ICT, South KoreaHealth Service ExecutiveInstituto de Salud Carlos IIINational Research Foundation of KoreaAgencia Estatal de InvestigaciónAssociation Nationale de la Recherche et de la TechnologieLeona M. and Harry B. Helmsley Charitable TrustNational Heart, Lung, and Blood InstituteNanyang Technological UniversityRheinische Friedrich-Wilhelms-Universität BonnRussian Science FoundationEuroNanoMed IIIMinisterio de Ciencia e InnovaciónUniversität HamburgSanofiAgència de Gestió d'Ajuts Universitaris i de RecercaNational Research FoundationAgence Nationale de la RechercheFundación para el Fomento en Asturias de la Investigación Científica Aplicada y la TecnologíaNarodowym Centrum NaukiNational Institute of General Medical SciencesNierstichtingWilliam K. Warren Foundation
KeywordsComputer scienceComputational biologyBiology

Abstract

fetched live from OpenAlex

Introduction: Exosomes are small Extracellular Vesicles (sEV) formed by an endosomal route by inward budding of the lateendosome/multivesicular body (MVB) membrane. Despite in recent years much progress has been made to better define sEVcomposition and biogenesis pathways, their small size and heterogeneity pose challenges to find new reliable labelling strategies toidentify specific exosome populations. We developed an innovative methodology to metabolically label fluorescent sEV throughthe use of a fluorescent lipid (BODIPY C16) that is readily internalized by cells and is transformed into phospholipids which willform part of the lipid bilayer of the secreted vesicles.Methods: Fluorescent sEV secreted in the conditioned media of melanoma cells pulsed with BODIPY FL C16 were purifiedby differential ultracentrifugation, quantified by Flow Cytometry (FC) and Nanoparticle Tracking Analysis (NTA), sorted byFluorescence Activated Cell Sorting (FACS) and further characterized by density gradient separation and Western Blot analysisfor typical sEVs markers. Colocalization studies were performed by confocal microscopy and electron microscopy.Results: Confocal images showed colocalization of BODIPY lipids with lipid transformation sites such as ER and mitochondriaand with specific markers of late endosomes/MVB or other organelles (tetraspanins, Golgi markers, lysosomes) but not with the  of ABSTRACTplasma membrane. Secretion of fluorescent sEV (Bodipy sEV) was followed over time showing an early release of Bodipy sEVinto the extracellular medium with a constant ratio of Bodipy sEV/total EVs, as determined by NTA, up to 6 hours. Bodipy sEVsecreted in the conditioned media purified by differential ultracentrifugation were separated by density gradient fractionation.Fractions analysed by FC displayed a single low density peak at 1,08-1,09 g/ml that is detergent sensitive demonstrating thatfluorescent particles are indeed lipid vesicles and contain tetraspanins (CD63, CD81 and CD9), syntenin and ESCRT componentswhen analysed by Western Blot. Electron microscopy analysis of ultracentrifuged and sorted Bodipy sEV showed that BodipysEVhavethetypicalshapeandsize(about80nm)ofasubpopulationofsEVoftenreferredtoassmallexosomes(Exo-S).Finally,colocalization studies of single Bodipy sEV with tetraspanins fluorescent antibodies showed colocalization of Bodipy sEV withCD63, CD81 and CD9.Summary/Conclusion: Taken together these results show a very specific and effective labelling of a discrete sEV subpopulationthat can be further exploited for biogenesis, internalization and functional studies. This work was supported by the Italian Ministry of Health (grant RF-2019-12369719)

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.003
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesMeta-epidemiology (narrow), Insufficient payload (model declined to judge)
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: none
GenreCandidate signal: Empirical · Consensus signal: none
Teacher disagreement score0.713
Threshold uncertainty score1.000

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0030.000
Meta-epidemiology (narrow)0.0010.001
Meta-epidemiology (broad)0.0010.001
Bibliometrics0.0000.000
Science and technology studies0.0010.000
Scholarly communication0.0000.000
Open science0.0020.001
Research integrity0.0000.001
Insufficient payload (model declined to judge)0.0040.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.011
GPT teacher head0.242
Teacher spread0.231 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it